Analysis of Fat Big Data Using Factor Models and Penalization Techniques: A Monte Carlo Simulation and Application by Faridoon Khan, Olayan Albalawi

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Forecasting returns volatility of cryptocurrency by applying various deep learning algorithms by Farman Ullah Khan, Faridoon Khan, Parvez Ahmed Shaikh

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On Predictive Modeling Using a New Flexible Weibull Distribution and Machine Learning Approach: Analyzing the COVID-19 Data by Zubair Ahmad, Zahra Almaspoor, Faridoon Khan, Mahmoud El-Morshedy

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A Comparison of Autometrics and Penalization Techniques under Various Error Distributions: Evidence from Monte Carlo Simulation by Faridoon Khan, Amena Urooj, Kalim Ullah, Badr Alnssyan, Zahra Almaspoor

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Half logistic-truncated exponential distribution: Characteristics and applications. by Ahtasham Gul, Amjad Javaid Sandhu, Muhammad Farooq, Muhammad Adil, Yasir Hassan, Faridoon Khan

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Comparing the Forecast Performance of Advanced Statistical and Machine Learning Techniques Using Huge Big Data: Evidence from Monte Carlo Experiments by Faridoon Khan, Amena Urooj, Saud Ahmed Khan, Abdelaziz Alsubie, Zahra Almaspoor, Sara Muhammadullah

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Half logistic-truncated exponential distribution: Characteristics and applications by Ahtasham Gul, Amjad Javaid Sandhu, Muhammad Farooq, Muhammad Adil, Yasir Hassan, Faridoon Khan

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Comparison of Weighted Lag Adaptive LASSO with Autometrics for Covariate Selection and Forecasting Using Time-Series Data by Sara Muhammadullah, Amena Urooj, Faridoon Khan, Mohammed N Alshahrani, Mohammed Alqawba, Sanaa Al-Marzouki

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Analysis of cryptocurrency exchange rates vs USA dollars using a new Dagum model by Yongjing Wang, Zubair Ahmad, Faridoon Khan, Dalia Kamal Alnagar, Hassan Alsuhabi, Ibrahim Alkhairy, M. Yusuf

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An Application of Hybrid Models for Weekly Stock Market Index Prediction: Empirical Evidence from SAARC Countries by Zhang Peng, Farman Ullah Khan, Faridoon Khan, Parvez Ahmed Shaikh, Dai Yonghong, Ihsan Ullah, Farid Ullah

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A new family of distributions using a trigonometric function: Properties and applications in the healthcare sector by Omalsad Hamood Odhah, Huda M. Alshanbari, Zubair Ahmad, Faridoon Khan, Abd al-Aziz Hosni El-Bagoury

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A new statistical distribution with applications to sports and health sciences by Fei Wang, Zubair Ahmad, Faridoon Khan, Eslam Hussam, Abdal-Aziz H El-Bagoury, Huda M. Alshanbari

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On the implementation of a new version of the Weibull distribution and machine learning approach to model the COVID-19 data by Yinghui Zhou, Zubair Ahmad, Zahra Almaspoor, Faridoon Khan, Elsayed tag-Eldin, Zahoor Iqbal, Mahmoud El-Morshedy

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A New Probability Distribution: Model, Theory and Analyzing the Recovery Time Data by Huda M. Alshanbari, Omalsad Hamood Odhah, Zubair Ahmad, Faridoon Khan, Abd Al-Aziz Hosni El-Bagoury

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A new modification of the flexible Weibull distribution based on power transformation: Monte Carlo simulation and applications by Faridoon Khan, Zubair Ahmad, Saima K. Khosa, Mohammed Ahmed Alomair, Abdullah Mohammed Alomair, Abdulaziz khalid Alsharidi

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On the Implementation of the Artificial Neural Network Approach for Forecasting Different Healthcare Events by Huda M. Alshanbari, Hasnain Iftikhar, Faridoon Khan, Moeeba Rind, Zubair Ahmad, Abd Al-Aziz Hosni El-Bagoury

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Univariate and multivariate analyses of the asset returns using new statistical models and penalized regression techniques by Huda M. Alshanbari, Zubair Ahmad, Faridoon Khan, Saima K. Khosa, Muhammad Ilyas, Abd Al-Aziz Hosni El-Bagoury

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On fitting and forecasting the log-returns of cryptocurrency exchange rates using a new logistic model and machine learning algorithms by Zubair Ahmad, Zahra Almaspoor, Faridoon Khan, Sharifah E. Alhazmi, M. El-Morshedy, O. Y. Ababneh, Amer Ibrahim Al-Omari

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Predictive modeling of the COVID-19 data using a new version of the flexible Weibull model and machine leaning techniques by Rashad A. R. Bantan, Zubair Ahmad, Faridoon Khan, Mohammed Elgarhy, Zahra Almaspoor, G. G. Hamedani, Mahmoud El-Morshedy, Ahmed M. Gemeay

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